Laser & Optoelectronics Progress, Volume. 59, Issue 19, 1930003(2022)

Quantitative Analysis of Binary and Ternary Mixtures Based on Terahertz Spectroscopy and Machine Learning Algorithm

Qingxiao Ma, Chun Li, Tianying Li, and Ling Jiang*
Author Affiliations
  • College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, Jiangsu , China
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    References(17)

    [7] Hu J, Liu Y D, Sun X D et al. Quantitative determination of benzoic acid in flour based on terahertz time-domain spectroscopy and BPNN model[J]. Laser & Optoelectronics Progress, 57, 073002(2020).

    [8] Hu J, Xu Z, Li M P et al. Determination of melamine content in milk powder based on neural network algorithm and terahertz spectrum detection[J]. Laser & Optoelectronics Progress, 57, 223001(2020).

    [13] Guan A H, Li Z, Ge H Y. The qualitative and quantitative detection of potassium alum in sweet potato starch based on terahestz time-domain spectroscopy[J]. Spectroscopy and Spectral Analysis, 38, 267-270(2018).

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    Qingxiao Ma, Chun Li, Tianying Li, Ling Jiang. Quantitative Analysis of Binary and Ternary Mixtures Based on Terahertz Spectroscopy and Machine Learning Algorithm[J]. Laser & Optoelectronics Progress, 2022, 59(19): 1930003

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    Paper Information

    Category: Spectroscopy

    Received: Aug. 2, 2021

    Accepted: Oct. 13, 2021

    Published Online: Sep. 23, 2022

    The Author Email: Jiang Ling (jiangling@njfu.edu.cn)

    DOI:10.3788/LOP202259.1930003

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